Workshop Description

Cognitive robotics is concerned with integrating reasoning,
perception, and action within a uniform theoretical and implementation
framework (using methods drawn from logic, probability and decision
theory, reinforcement learning, game theory, etc.). It is quite a young
field of research. However, the use of robots and softbots is
becoming more and more widespread, with many commercial products on the
market. Complex applications and the need for effective
interaction with humans are increasing demand for robots that are
capable of deliberation and other high-level cognitive functions.
Models from cognitive science and techniques from machine learning are
being used to enable robots to extend their knowledge and skills.
Combining results from mainstream robotics and computer vision with
those from knowledge representation and reasoning, machine
learning, and cognitive science has been central to research in
cognitive robotics. The International Cognitive Robotics Workshop aims
at bringing together researchers involved in all aspects of the theory
and implementation of cognitive robotics, to discuss current work and
future directions.

Previous CogRob Workshops

The current edition of the Workshop is the sixth in a
series. The previous workshops were:

1st International Cognitive Robotics Workshop (Orlando,
USA), held as part of the AAAI Fall Symposium 1998;

2nd International Cognitive Robotics Workshop (Berlin,
Germany), held in conjunction with ECAI 2000;

The CogRob'08 Program

The 2008 edition of the Workshop received 16 technical paper and 2
position paper submissions. Of these, 7 submissions were accepted
for long presentations and 6 for short presentations. The accepted
papers appear in these proceedings. We have an excellent program
with
papers on cognitive robot architecture, cognitive vision, learning for
cognitive robotics, human-robot interaction, and systems addressing
specific types of applications. We are also having two invited
lectures, one by Anthony G. Cohn entitled ``Qualitative Spatio-Temporal
Representations and Cognitive Vision'' and another by Jan Peters
entitled ``Motor Skill Learning for Cognitive Robotics''. See the
Preliminary Schedule.